Wang Ge, Gao Jian, Ma Zu, Liu Yuan, Wang Ming, Xing Dan, Li Chunxiao, Guo Xiaoxia, Zhao Teng, Jiang Yuting, Dong Yande, Zhang Hengduan, Zhao Tongyan
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Front Genet. 2023 Mar 9;14:1107893. doi: 10.3389/fgene.2023.1107893. eCollection 2023.
Since invaded Yunnan Province in 2002, its total population has continued to expand. Shi et al. used microsatellite and mitochondrial molecular markers to study the populations in Yunnan Province in 2015 and 2016, found that it showed high genetic diversity and genetic structure. However, there are few studies on the population genetic characteristics of in Yunnan Province under different levels of human intervention. This study mainly used two common types of molecular markers to analyze the genetic characteristics of , revealing the influence of different input, prevention and control pressures on the genetic diversity and structure of this species. Understanding the genetic characteristics of populations and clarifying the diversity, spread status, and source of invasion are essential for the prevention, control and elimination of this disease vector. We analyzed the genetic diversity and genetic structure of 22 populations sampled in Yunnan Province in 2019 and 17 populations sampled in 2020 through nine microsatellite loci and COI and ND4 fragments of mitochondrial DNA. In 2019, a total of 22 natural populations were obtained, each containing 30 samples, a total of 660 samples. In 2020, a total of 17 natural populations were obtained. Similarly, each population had 30 samples, and a total of 510 samples were obtained. Analysis of populations in 2019 and 2020 based on microsatellite markers revealed 67 and 72 alleles, respectively. The average allelic richness of the populations in 2019 was 3.659, while that in 2020 was 3.965. The HWE analysis of the 22 populations sampled in 2019 revealed significant departure only in the QSH-2 population. The 17 populations sampled in 2020 were all in HWE. The average polymorphic information content (PIC) values were 0.546 and 0.545, respectively, showing high polymorphism. The average observed heterozygosity of the 2019 and 2020 populations was 0.538 and 0.514, respectively, and the expected average heterozygosity was 0.517 and 0.519, showing high genetic diversity in all mosquito populations. By analyzing the COI and ND4 fragments in the mitochondrial DNA of , the populations sampled in 2019 had a total of 10 COI haplotypes and 17 ND4 haplotypes. A total of 20 COI haplotypes were found in the populations sampled in 2020, and a total of 24 ND4 haplotypes were obtained. STRUCTURE, UPGMA and DAPC cluster analyses and a network diagram constructed based on COI and ND4 fragments showed that the populations of in Yunnan Province sampled in 2019 and 2020 could be divided into two clusters. At the beginning of 2020, due to the impact of COVID-19, the flow of goods between the port areas of Yunnan Province and neighboring countries was reduced, and the sterilization was more effective when goods enter the customs, leading to different immigration pressures on population in Yunnan Province between 2019 and 2020, the source populations of the 2019 and 2020 populations changed. Mantel test is generally used to detect the correlation between genetic distance and geographical distance, the analysis indicated that population geographic distance and genetic distance had a moderately significant correlation in 2019 and 2020 (2019: < 0.05 R2 = 0.4807, 2020: < 0.05 R2 = 0.4233). in Yunnan Province maintains a high degree of genetic diversity. Human interference is one reason for the changes in the genetic characteristics of this disease vector.
自2002年侵入云南省以来,其种群总数持续扩大。施等人在2015年和2016年利用微卫星和线粒体分子标记研究了云南省的该种群,发现其表现出高遗传多样性和遗传结构。然而,关于云南省不同人类干预水平下该种群的遗传特征研究较少。本研究主要利用两种常见类型的分子标记分析该种群的遗传特征,揭示不同输入、防控压力对该物种遗传多样性和结构的影响。了解该种群的遗传特征并阐明其多样性、传播状况和入侵来源对于预防、控制和消除这种病媒至关重要。我们通过9个微卫星位点以及线粒体DNA的COI和ND4片段,分析了2019年在云南省采集的22个种群和2020年采集的17个种群的遗传多样性和遗传结构。2019年共获得22个自然种群,每个种群包含30个样本,共660个样本。2020年共获得17个自然种群。同样,每个种群有30个样本,共获得510个样本。基于微卫星标记对2019年和2020年的该种群进行分析,分别发现67个和72个等位基因。2019年种群的平均等位基因丰富度为3.659,而2020年为3.965。对2019年采集的22个种群进行的哈迪 - 温伯格平衡(HWE)分析显示,仅在QSH - 2种群中有显著偏离。2020年采集的17个种群均处于哈迪 - 温伯格平衡。平均多态信息含量(PIC)值分别为0.546和0.545,显示出高多态性。2019年和2020年种群的平均观察杂合度分别为0.538和0.514,预期平均杂合度为0.517和0.519,表明所有蚊虫种群均具有高遗传多样性。通过分析该种群线粒体DNA中的COI和ND4片段,2019年采集的种群共有10个COI单倍型和17个ND4单倍型。2020年采集的种群共发现20个COI单倍型,共获得24个ND4单倍型。基于STRUCTURE、UPGMA和DAPC聚类分析以及根据COI和ND4片段构建的网络图显示,2019年和2020年在云南省采集的该种群可分为两个聚类。2020年初,由于新冠疫情的影响,云南省口岸地区与周边国家之间的货物流动减少,货物进关时消毒更有效,导致2019年至2020年云南省该种群面临不同的迁入压力,2019年和2020年种群的来源种群发生了变化。Mantel检验通常用于检测遗传距离与地理距离之间的相关性,分析表明2019年和2020年种群地理距离与遗传距离具有中等显著相关性(2019年:<0.05,R2 = 0.4807;2020年:<0.05,R2 = 0.4233)。云南省的该种群保持着高度的遗传多样性。人类干扰是这种病媒遗传特征变化的一个原因。